A study to determine how artificial intelligence assistance affects the accuracy of a physician's diagnosis of colorectal polyps.
Not Applicable
- Conditions
- Colorectal polyps
- Registration Number
- JPRN-UMIN000049564
- Lead Sponsor
- ShowaUniversityNorthernYokohamaHospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up continuing
- Sex
- All
- Target Recruitment
- 14
Inclusion Criteria
Not provided
Exclusion Criteria
1. lesions for which no NBI images have been captured 2. lesions for which the NBI images taken are too blurred to be annotated 3. lesions for which only images showing multiple lesions were taken 4. lesions imaged from patients with inflammatory bowel disease 5. lesion imaged from a patient with polyposis
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method